iPhone 15
Geekbench AI Score
3433
Single Precision Score
5948
Half Precision Score
5132
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | totovince |
| Upload Date | August 15 2024 06:54 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1431
266.2 IPS |
|
|
Image Classification (HP)
|
100% |
2545
473.4 IPS |
|
|
Image Classification (Q)
|
99% |
2515
469.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2137
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6214
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
13791
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
11501
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.6 IPS |
|
|
Object Detection (HP)
|
97% |
2878
229.1 IPS |
|
|
Object Detection (Q)
|
94% |
2002
159.6 IPS |
|
|
Face Detection (SP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
5992
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3356
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5877
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12110
93.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
11902
92.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17315
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26769
34.4 IPS |
|
|
Style Transfer (Q)
|
100% |
26948
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3835
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4898
180.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3618
134.0 IPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4548
6.07 KIPS |
|
|
Text Classification (Q)
|
93% |
4532
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3393
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5844
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5809
100.4 IPS |
